My Journey

Inspired by Dr. Asim Karim, a blind professor in assistive technology, and Conor Russomanno, CEO of OpenBCI, I ventured into BCI research to revolutionize not just speech recovery but broader applications in brain-computer interaction. With a passion for AI and robotics, I founded Excelleve, a BCI-driven assistive technology company, to push the boundaries of innovation and create life-changing solutions.

Projects

🧠 NeuroAI & Brain Signal Analysis

🔹 Thought-to-Speech BCI

• Objective: Restore speech for individuals with motor impairments.

• Technologies Used: EEG, Deep Learning, Signal Processing.

• Impact: Developing non-invasive solutions for speech restoration with broader applications in Brain-Computer Interfaces (BCI).

🔹 Harmful Brain Activity Detection

• Applied deep learning to EEG data to classify neurological disorders such as LPD and seizures, enabling early diagnosis and detection.

🩺 Medical AI & Imaging

🔹 Medical Image Segmentation

• Developed AI-driven models to segment and classify medical anomalies in MRI, CT scans, and X-ray imaging.

• Impact: Enhanced accuracy and speed in medical diagnostics through automated region-based analysis.

🔹 Disease Classification from Medical Imaging

• Built AI models to analyze and classify radiological scans, improving diagnostic accuracy.

• Impact: Demonstrated potential to enhance diagnostic accuracy and support clinical decision-making in research settings.

🔹 AI-Powered Disease Prediction

• Created predictive AI models using structured patient data (e.g., lab results, history) for early detection of critical diseases.

• Impact: Supported preventative care and medical decision-making by identifying high-risk patients.

🌿 AI for Ecology & Conservation

🔹 WildNet: AI for Bird Species Recognition

• Objective: Classify bird species from environmental audio recordings to support large-scale biodiversity monitoring and wildlife conservation.

• Technologies Used: Custom deep learning architecture combining Convolutional Neural Networks (CNNs), channel attention mechanisms, and transformer encoders for multi-label audio classification.

• Impact: Advanced ecological research by enabling accurate species identification in diverse acoustic environments, contributing to conservation and biodiversity tracking efforts.

🤖 Advanced Robotics & IoT

🔹 Robotics & Automation

• Designed and implemented high-precision robotic systems; awarded in national and international robotics competitions.

🔹 Embedded Systems & Control

• Engineered robotics solutions using PID control, sensor integration, and Arduino–VEX systems for intelligent automation.

🔹 IoT & Smart Systems

• Developed IoT-based applications using microcontrollers and embedded systems for real-world automation tasks.

🔹 Circuit Design & PCB Development

• Designed custom PCBs for robotic and IoT systems, improving performance, reliability, and integration.

🔹 Robotics Mentorship & R&D Leadership

• Led student teams in robotics competitions, mentoring in advanced robotics, embedded systems, and mechatronics.

🔥 Generative AI & Large Language Models (LLMs)

🔹 Fine-Tuning LLMs for Specialized Applications

• Optimized transformer-based architectures for domain-specific tasks such as Olympiad-level math solving and AI-generated content classification.

🔹 Automated RLHF in LLM Training

• Developed a system to automate Reinforcement Learning from Human Feedback (RLHF), reducing reliance on manual tuning and accelerating LLM optimization.

🔹 AI-Driven Workflow Automation

• Built AI solutions to automate repetitive tasks, enhance productivity, and streamline operations in real-world environments.